Abstract:
BACKGROUND:Mouse xenografts from (patient-derived) tumors (PDX) or tumor cell lines are widely used as models to study various biological and preclinical aspects of cancer. However, analyses of their RNA and DNA profiles are challenging, because they comprise reads not only from the grafted human cancer but also from the murine host. The reads of murine origin result in false positives in mutation analysis of DNA samples and obscure gene expression levels when sequencing RNA. However, currently available algorithms are limited and improvements in accuracy and ease of use are necessary. RESULTS:We developed the R-package XenofilteR, which separates mouse from human sequence reads based on the edit-distance between a sequence read and reference genome. To assess the accuracy of XenofilteR, we generated sequence data by in silico mixing of mouse and human DNA sequence data. These analyses revealed that XenofilteR removes > 99.9% of sequence reads of mouse origin while retaining human sequences. This allowed for mutation analysis of xenograft samples with accurate variant allele frequencies, and retrieved all non-synonymous somatic tumor mutations. CONCLUSIONS:XenofilteR accurately dissects RNA and DNA sequences from mouse and human origin, thereby outperforming currently available tools. XenofilteR is open source and available at https://github.com/PeeperLab/XenofilteR .
journal_name
BMC Bioinformaticsjournal_title
BMC bioinformaticsauthors
Kluin RJC,Kemper K,Kuilman T,de Ruiter JR,Iyer V,Forment JV,Cornelissen-Steijger P,de Rink I,Ter Brugge P,Song JY,Klarenbeek S,McDermott U,Jonkers J,Velds A,Adams DJ,Peeper DS,Krijgsman Odoi
10.1186/s12859-018-2353-5subject
Has Abstractpub_date
2018-10-04 00:00:00pages
366issue
1issn
1471-2105pii
10.1186/s12859-018-2353-5journal_volume
19pub_type
杂志文章abstract:BACKGROUND:One of key issues in the post-genomic era is to assign functions to uncharacterized proteins. Since proteins seldom act alone; rather, they must interact with other biomolecular units to execute their functions. Thus, the functions of unknown proteins may be discovered through studying their interactions wit...
journal_title:BMC bioinformatics
pub_type: 杂志文章
doi:10.1186/1471-2105-11-S1-S64
更新日期:2010-01-18 00:00:00
abstract:BACKGROUND:Estimation of individual ancestry from genetic data is useful for the analysis of disease association studies, understanding human population history and interpreting personal genomic variation. New, computationally efficient methods are needed for ancestry inference that can effectively utilize existing inf...
journal_title:BMC bioinformatics
pub_type: 杂志文章
doi:10.1186/s12859-014-0418-7
更新日期:2015-01-16 00:00:00
abstract:BACKGROUND:FREGENE simulates sequence-level data over large genomic regions in large populations. Because, unlike coalescent simulators, it works forwards through time, it allows complex scenarios of selection, demography, and recombination to be modelled simultaneously. Detailed tracking of sites under selection is im...
journal_title:BMC bioinformatics
pub_type: 杂志文章
doi:10.1186/1471-2105-9-364
更新日期:2008-09-08 00:00:00
abstract:BACKGROUND:Endometrial cancers (ECs) are one of the most common types of malignant tumor in females. Substantial efforts had been made to identify significantly mutated genes (SMGs) in ECs and use them as biomarkers for the classification of histological subtypes and the prediction of clinical outcomes. However, the im...
journal_title:BMC bioinformatics
pub_type: 杂志文章
doi:10.1186/s12859-017-1891-6
更新日期:2017-12-28 00:00:00
abstract:BACKGROUND:Since their first commercialization, the diversity of taxa and the genetic composition of transgene sequences in genetically modified plants (GMOs) are constantly increasing. To date, the detection of GMOs and derived products is commonly performed by PCR-based methods targeting specific DNA sequences introd...
journal_title:BMC bioinformatics
pub_type: 杂志文章
doi:10.1186/1471-2105-14-256
更新日期:2013-08-22 00:00:00
abstract:BACKGROUND:The number of protein structures from structural genomics centers dramatically increases in the Protein Data Bank (PDB). Many of these structures are functionally unannotated because they have no sequence similarity to proteins of known function. However, it is possible to successfully infer function using o...
journal_title:BMC bioinformatics
pub_type: 杂志文章
doi:10.1186/1471-2105-7-53
更新日期:2006-02-06 00:00:00
abstract:BACKGROUND:Conservation and variation scores are used when evaluating sites in a multiple sequence alignment, in order to identify residues critical for structure or function. A variety of scores are available today but it is not clear how different scores relate to each other. RESULTS:We applied 25 conservation and v...
journal_title:BMC bioinformatics
pub_type: 杂志文章
doi:10.1186/1471-2105-11-388
更新日期:2010-07-21 00:00:00
abstract:BACKGROUND:In mass spectrometry (MS) based proteomic data analysis, peak detection is an essential step for subsequent analysis. Recently, there has been significant progress in the development of various peak detection algorithms. However, neither a comprehensive survey nor an experimental comparison of these algorith...
journal_title:BMC bioinformatics
pub_type: 杂志文章
doi:10.1186/1471-2105-10-4
更新日期:2009-01-06 00:00:00
abstract:BACKGROUND:The recent emergence of high-throughput automated image acquisition technologies has forever changed how cell biologists collect and analyze data. Historically, the interpretation of cellular phenotypes in different experimental conditions has been dependent upon the expert opinions of well-trained biologist...
journal_title:BMC bioinformatics
pub_type: 杂志文章
doi:10.1186/1471-2105-9-264
更新日期:2008-06-05 00:00:00
abstract:BACKGROUND:Cellular functions are coordinately carried out by groups of genes forming functional modules. Identifying such modules in the transcriptional regulatory network (TRN) of organisms is important for understanding the structure and function of these fundamental cellular networks and essential for the emerging ...
journal_title:BMC bioinformatics
pub_type: 杂志文章
doi:10.1186/1471-2105-5-199
更新日期:2004-12-16 00:00:00
abstract:BACKGROUND:The generation of multiple sequence alignments (MSAs) is a crucial step for many bioinformatic analyses. Thus improving MSA accuracy and identifying potential errors in MSAs is important for a wide range of post-genomic research. We present a novel method called MergeAlign which constructs consensus MSAs fro...
journal_title:BMC bioinformatics
pub_type: 杂志文章
doi:10.1186/1471-2105-13-117
更新日期:2012-05-30 00:00:00
abstract:BACKGROUND:We establish that the occurrence of protein folds among genomes can be accurately described with a Weibull function. Systems which exhibit Weibull character can be interpreted with reliability theory commonly used in engineering analysis. For instance, Weibull distributions are widely used in reliability, ma...
journal_title:BMC bioinformatics
pub_type: 杂志文章
doi:10.1186/1471-2105-5-101
更新日期:2004-07-26 00:00:00
abstract:BACKGROUND:Polychromatic flow cytometry is a popular technique that has wide usage in the medical sciences, especially for studying phenotypic properties of cells. The high-dimensionality of data generated by flow cytometry usually makes it difficult to visualize. The naive solution of simply plotting two-dimensional g...
journal_title:BMC bioinformatics
pub_type: 杂志文章
doi:10.1186/s12859-017-1662-4
更新日期:2017-06-07 00:00:00
abstract::Selected reaction monitoring (SRM)-based proteomics approaches enable highly sensitive and reproducible assays for profiling of thousands of peptides in one experiment. The development of such assays involves the determination of retention time, detectability and fragmentation properties of peptides, followed by an op...
journal_title:BMC bioinformatics
pub_type: 杂志文章
doi:10.1186/1471-2105-13-S16-S8
更新日期:2012-01-01 00:00:00
abstract:BACKGROUND:A rapidly increasing flow of genomic data requires the development of efficient methods for obtaining its compact representation. Feature extraction facilitates classification, clustering and model analysis for testing and refining biological hypotheses. "Shotgun" metagenome is an analytically challenging ty...
journal_title:BMC bioinformatics
pub_type: 杂志文章
doi:10.1186/s12859-015-0875-7
更新日期:2016-01-16 00:00:00
abstract:BACKGROUND:MicroRNAs (miRNA) are regulatory genes that target and repress other RNA molecules via sequence-specific binding. Several biological processes are regulated across many organisms by evolutionarily conserved miRNAs. Plants and invertebrates employ their miRNA in defense against viruses by targeting and degrad...
journal_title:BMC bioinformatics
pub_type: 杂志文章
doi:10.1186/1471-2105-14-S2-S3
更新日期:2013-01-01 00:00:00
abstract:BACKGROUND:The complexity and dynamics of microbial communities are major factors in the ecology of a system. With the NGS technique, metagenomics data provides a new way to explore microbial interactions. Lotka-Volterra models, which have been widely used to infer animal interactions in dynamic systems, have recently ...
journal_title:BMC bioinformatics
pub_type: 杂志文章
doi:10.1186/s12859-016-1359-0
更新日期:2016-11-25 00:00:00
abstract:BACKGROUND:Genome and metagenome studies have identified thousands of protein families whose functions are poorly understood and for which techniques for functional characterization provide only partial information. For such proteins, the genome context can give further information about their functional context. RESU...
journal_title:BMC bioinformatics
pub_type: 杂志文章
doi:10.1186/1471-2105-12-141
更新日期:2011-05-09 00:00:00
abstract:BACKGROUND:Transposable elements (TE) are mobile genetic entities present in nearly all genomes. Previous work has shown that TEs tend to have a different nucleotide composition than the host genes, either considering codon usage bias or dinucleotide frequencies. We show here how these compositional differences can be ...
journal_title:BMC bioinformatics
pub_type: 杂志文章
doi:10.1186/1471-2105-5-94
更新日期:2004-07-13 00:00:00
abstract:BACKGROUND:Computational gene finding algorithms have proven their robustness in identifying genes in complete genomes. However, metagenomic sequencing has presented new challenges due to the incomplete and fragmented nature of the data. During the last few years, attempts have been made to extract complete and incompl...
journal_title:BMC bioinformatics
pub_type: 杂志文章
doi:10.1186/1471-2105-14-S9-S6
更新日期:2013-01-01 00:00:00
abstract:BACKGROUND:Classification and naming is a key step in the analysis, understanding and adequate management of living organisms. However, where to set limits between groups can be puzzling especially in clonal organisms. Within the Mycobacterium tuberculosis complex (MTC), the etiological agent of tuberculosis (TB), expe...
journal_title:BMC bioinformatics
pub_type: 杂志文章
doi:10.1186/1471-2105-12-224
更新日期:2011-06-02 00:00:00
abstract:BACKGROUND:PacBio sequencing platform offers longer read lengths than the second-generation sequencing technologies. It has revolutionized de novo genome assembly and enabled the automated reconstruction of reference-quality genomes. Due to its extremely wide range of application areas, fast sequencing simulation syste...
journal_title:BMC bioinformatics
pub_type: 杂志文章
doi:10.1186/s12859-018-2208-0
更新日期:2018-05-22 00:00:00
abstract:BACKGROUND:Comparative analysis of whole genome sequence data from closely related prokaryotic species or strains is becoming an increasingly important and accessible approach for addressing both fundamental and applied biological questions. While there are number of excellent tools developed for performing this task, ...
journal_title:BMC bioinformatics
pub_type: 杂志文章
doi:10.1186/s12859-016-1142-2
更新日期:2016-06-30 00:00:00
abstract:BACKGROUND:One of the greatest challenges in Metabolic Engineering is to develop quantitative models and algorithms to identify a set of genetic manipulations that will result in a microbial strain with a desirable metabolic phenotype which typically means having a high yield/productivity. This challenge is not only du...
journal_title:BMC bioinformatics
pub_type: 杂志文章
doi:10.1186/1471-2105-9-499
更新日期:2008-11-27 00:00:00
abstract:BACKGROUND:Numerous functional genomics approaches have been developed to study the model organism yeast, Saccharomyces cerevisiae, with the aim of systematically understanding the biology of the cell. Some of these techniques are based on yeast growth differences under different conditions, such as those generated by ...
journal_title:BMC bioinformatics
pub_type: 杂志文章
doi:10.1186/1471-2105-8-117
更新日期:2007-04-04 00:00:00
abstract:BACKGROUND:As a rule, peptides are more flexible and unstructured than proteins with their substantial stabilizing hydrophobic cores. Nevertheless, a few stably folding peptides have been discovered. This raises the question whether there may be more such peptides that are unknown as yet. These molecules could be helpf...
journal_title:BMC bioinformatics
pub_type: 杂志文章
doi:10.1186/1471-2105-9-109
更新日期:2008-02-19 00:00:00
abstract:BACKGROUND:The abundant data available for protein interaction networks have not yet been fully understood. New types of analyses are needed to reveal organizational principles of these networks to investigate the details of functional and regulatory clusters of proteins. RESULTS:In the present work, individual cluste...
journal_title:BMC bioinformatics
pub_type: 杂志文章
doi:10.1186/1471-2105-7-355
更新日期:2006-07-24 00:00:00
abstract:BACKGROUND:Replication timing experiments that use label incorporation and high throughput sequencing produce peaked data similar to ChIP-Seq experiments. However, the differences in experimental design, coverage density, and possible results make traditional ChIP-Seq analysis methods inappropriate for use with replica...
journal_title:BMC bioinformatics
pub_type: 杂志文章
doi:10.1186/s12859-017-1774-x
更新日期:2017-08-07 00:00:00
abstract:BACKGROUND:A relevant problem in drug design is the comparison and recognition of protein binding sites. Binding sites recognition is generally based on geometry often combined with physico-chemical properties of the site since the conformation, size and chemical composition of the protein surface are all relevant for ...
journal_title:BMC bioinformatics
pub_type: 杂志文章
doi:10.1186/1471-2105-11-488
更新日期:2010-09-29 00:00:00
abstract:BACKGROUND:There are a number of different methods for generation of trees and algorithms for phylogenetic analysis in the study of bacterial taxonomy. Genotypic information, such as SSU rRNA gene sequences, now plays a more prominent role in microbial systematics than does phenotypic information. However, the integrat...
journal_title:BMC bioinformatics
pub_type: 杂志文章
doi:10.1186/1471-2105-8-281
更新日期:2007-08-02 00:00:00